<?xml version="1.0" encoding="UTF-8"?>
<dxl:DXLMessage xmlns:dxl="http://greenplum.com/dxl/2010/12/">
	    <dxl:Comment><![CDATA[
Objective: The join cardinality estimate for multiple columns on different tables should be reasonable.

The query returns ~1 rows when run, but we should estimate ~1000 rows
for optimizer_damping_factor_join 0 and ~2300 rows for the previous 0.01 value.
The reason for the estimate is that we assume referential integrity constraints
for the joins, which is not the case in this example.

drop table if exists t1, t2, t3;
create table t1 (a int, b int) distributed by (a);
create table t2 (a int, b int) distributed by (a);
create table t3 (a int, b int) distributed by (a);

insert into t1 select floor(random()*1000),floor(random()*1000) from generate_series(1,1000)i;
insert into t2 select floor(random()*1000),floor(random()*1000) from generate_series(1,1000)i;
insert into t3 select floor(random()*1000),floor(random()*1000) from generate_series(1,1000)i;

analyze t1;
analyze t2;
analyze t3;

set optimizer_join_order=query;
explain select * from t1, t2, t3 where t1.a = t2.a and t2.a = t3.a and t1.b = t3.b;

                                    QUERY PLAN
-----------------------------------------------------------------------------------
 Gather Motion 3:1  (slice1; segments: 3)  (cost=0.00..1293.64 rows=1000 width=24)
   ->  Hash Join  (cost=0.00..1293.55 rows=334 width=24)
         Hash Cond: ((t2.a = t3.a) AND (t1.b = t3.b))
         ->  Hash Join  (cost=0.00..862.21 rows=505 width=16)
               Hash Cond: (t1.a = t2.a)
               ->  Seq Scan on t1  (cost=0.00..431.01 rows=334 width=8)
               ->  Hash  (cost=431.01..431.01 rows=334 width=8)
                     ->  Seq Scan on t2  (cost=0.00..431.01 rows=334 width=8)
         ->  Hash  (cost=431.01..431.01 rows=334 width=8)
               ->  Seq Scan on t3  (cost=0.00..431.01 rows=334 width=8)
 Optimizer: Pivotal Optimizer (GPORCA)
	]]>
    </dxl:Comment>
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